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 Code to reproduce results from the paper:
 
-**[Utilizing supervised models to infer consensus labels and their quality from data with multiple annotators](https://arxiv.org/abs/2210.06812)**  
+**[CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators](https://arxiv.org/abs/2210.06812)**  
 *NeurIPS 2022 Human in the Loop Learning Workshop*
 
 This repository benchmarks algorithms that estimate: